Create app.py

app.py

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+import subprocess
+import os
+import gradio as gr
+import pandas as pd
+import time
+import threading
+from huggingface_hub import HfApi
+api = HfApi()
+
+HF_TOKEN = os.getenv('HF_TOKEN')
+repo_url = "https://huggingface.co/datasets/Weyaxi/followers-leaderboard"
+os.system(f"git clone --bare --filter=blob:none {repo_url}")
+
+os.chdir("followers-leaderboard.git")
+
+result = subprocess.check_output("git log -1 --pretty=%B", shell=True, universal_newlines=True).replace("Upload", "").replace("/data.csv with huggingface_hub", "").strip().replace(" ", "%20")
+
+os.system(f"wget -Odata.csv https://huggingface.co/datasets/Weyaxi/followers-leaderboard/resolve/main/{result}/data.csv?download=true")
+
+
+def clickable(x):
+    return f'<a target="_blank" href="https://huggingface.co/{x}" style="color: var(--link-text-color); text-decoration: underline;text-decoration-style: dotted;">{x}</a>'
+
+def apply_headers(df, headers):
+    tmp = df.copy()
+    tmp.columns = headers
+
+    return tmp
+
+
+def search(search_text):
+    if not search_text:
+        return df
+
+    return df[df['👤 Author'].str.contains(search_text, case=False, na=False)]
+
+
+def restart_space():
+  time.sleep(1880)
+  api.restart_space(repo_id="Weyaxi/followers-leaderboard", token=HF_TOKEN)
+
+
+df = pd.read_csv("data.csv").drop("Followers", axis=1)
+
+df_author_copy = df.copy()
+
+df["Author"] = df["Author"].apply(lambda x: clickable(x))
+df = df.sort_values(by='Number of Followers', ascending=False)
+df['Serial Number'] = [i for i in range(1, len(df)+1)]
+df = df[['Serial Number', "Author", "Number of Followers"]]
+
+df = apply_headers(df, ["🔢 Serial Number", "👤 Author", "🌟 Number of Followers"])
+
+
+desc = f"""
+🎯 The Leaderboard aims to track users follower counts.
+
+## 📄 Information
+
+🛠️ This leaderboard consists of 4000 users scraped from [🤗 Huggingface Leaderboard](https://huggingface.co/spaces/PulsarAI/huggingface-leaderboard).
+
+These 4000 users have been selected based on their [🤗 Huggingface Leaderboard](https://huggingface.co/spaces/PulsarAI/huggingface-leaderboard) positions:
+
+- 🤖 Top 2250 authors in the models category
+
+- 📊 Top 1100 authors in the datasets category
+
+- 🚀 Top 1100 authors in the spaces category
+
+
+## 🤝 I want to see someone here
+
+No problem, you can request to add a user [here](https://huggingface.co/spaces/Weyaxi/followers-leaderboard/discussions/1).
+
+There is no critique; please request anyone. The number of users in this leaderboard is limited because scraping 250k user's follower count is challenging. 🙂
+
+## Last Update
+
+⌛ This space information is last updated in **{result.replace("%20", " ")}**.
+"""
+
+title = """
+<div style="text-align:center">
+  <h1 id="space-title">🌟 Follower Leaderboard 🌟</h1>
+</div>
+"""
+
+with gr.Blocks() as demo:
+    gr.Markdown("""<h1 align="center" id="space-title">🌟 Follower Leaderboard 🌟</h1>""")
+    gr.Markdown(desc)
+    with gr.Column(min_width=320):
+        search_bar = gr.Textbox(placeholder="🔍 Search for a author", show_label=False)
+
+    gr_followers = gr.Dataframe(df, interactive=False, datatype=["number", 'markdown', 'number'])
+
+    search_bar.submit(fn=search, inputs=search_bar, outputs=gr_followers)
+
+
+threading.Thread(target=restart_space).start()
+demo.launch()